R Weekly 2023-W15
This week’s release was curated by Tony ElHabr, with help from the R Weekly team members and contributors.
Highlight
Insights
R in the Real World
R in Organizations
Resources
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Reproducible analytical pipelines with Docker (new chapter in free e-book, “Building reproducible analytical pipelines with R”)
New Packages
CRAN
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{rtlr} 0.1.0: Print Right-to-left Languages Correctly
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{gitGPT} 0.1.3: Automated Git Commit Messages using the ‘OpenAI’ ‘GPT’ Model
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{softbib} 0.0.1: Software Bibliographies for R Projects
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{powerindexR} 1.0: Measuring the Power in Voting Systems
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{healthyR} 0.2.1: Hospital Data Analysis Workflow Tools
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{lessSEM} 1.4.16: Non-Smooth Regularization for Structural Equation Models
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{INLAspacetime} 0.1.5: Spatial and Spatio-Temporal Models using ‘INLA’
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{xmeta} 1.3.1: A Toolbox for Multivariate Meta-Analysis
GitHub or Bitbucket
- {plot2} 0.0.1: Lightweight extension of the base R plot function, with support for automatic grouping and legend printing, and several other enhancements.
Updated Packages
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{RcppArmadillo} 0.12.2.0.0: Provides an interface from R to and from Armadillo by utilising the Rcpp R/C++ interface library.
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{ranger} 0.15.1: A Fast Implementation of Random Forests - diffify
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{tune} 1.1.0: Tidy Tuning Tools - diffify
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{quantmod} 0.4.22: Quantitative Financial Modelling Framework - diffify
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{workflowsets} 1.0.1: Create a Collection of ‘tidymodels’ Workflows - diffify
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{dbparser} 2.0.1: Introduce new method for paring DrugBank DB and returning an R dvobject diffify
Videos and Podcasts
R Internationally
Tutorials
R Project Updates
Updates from R Core:
R Contributor Office Hours, Thursday April 13: Europe/Middle East/Asia-Pacific Hour or Americas Hour
Join an online Office Hour at the time that suits you to - discuss how to get started contributing to R - get help/feedback on contributions you are working on - look at open bugs/work on translations together
Call for Participation
Upcoming Events in 3 Months
Events in 3 Months:
Jobs
💼 Explore Jobs & Gigs Board on RStudio Community 💼
Quotes of the Week
Calculating multiple lags for time series is annoying.
— Albert Rapp (@rappa753) April 3, 2023
Here's an insanely powerful combo from @paul_elotro to make your life easier.
It channels the full #rstats power with
1️⃣ partial() + map() from {purrr}
2️⃣ curly-curly from {rlang}
3️⃣ mutate() + across() from {dplyr} pic.twitter.com/Gd9ZrTjHg4
The {softbib} 📦#RStats scans a project folder, detects the software used, and magically creates software bibliographies: Word, PDF, Rmd and BibTeX.
— Vincent Arel-Bundock (@VincentAB) April 6, 2023
Complements our new free article which argues that researchers should acknowledge the contributions of software devs to science https://t.co/k9DotSlqgu